Code from Introduction to C++ for Financial Engineers by Duffy

[Avar]

OS and Computer Networks course in C++

I'm just wondering what one can do in C++ for OS topics. Kind of tenuous?
Booast C++ asio??

Just curious.

Brief overview of topics: "Performance measurement; concurrent programs; the management of information, memory and processor resources."

Touched on aspects of boost C++.

In terms of exercises: simulations involving system calls, multi-threaded prime detection, deadlock detectors, cpu scheduling (focused on RR), a worst-fit dynamic partition mem simulator, a FAT simulation.

Interested in hearing your opinions on Rust vs C++; specifically for financial use cases.

 

[Daniel Duffy]

That course sounds very exotic and somewhat diffuse. What are the prerequisites?

https://www.datasim.nl/application/files/4715/3069/5621/DL_Advanced_C___course_contents.pdf

// I don't have any opinions on Rust vs C++.
// Such discussions are not productive.

 

[Avar]

That course sounds very exotic and somewhat diffuse. What are the prerequisites?

https://www.datasim.nl/application/files/4715/3069/5621/DL_Advanced_C___course_contents.pdf

// I don't have any opinions on Rust vs C++.
// Such discussions are not productive.

The prerequisites were the two courses below:

• Data Structures, Algorithms, and their Applications
  • Fundamental data structures, including arrays, lists, stacks, queues, trees, hash tables, and graphs. Algorithms for searching and sorting. Introduction to analysis of algorithms. Applications of these data structures and algorithms.
• Computer Organization
  • Organization of a simple stored-program computer: CPU, busses and memory. Instruction sets, machine code, and assembly language. Conventions for assembly language generated by compilers. Floating-point number representation. Hardware organization. Address translation and virtual memory. Input/output devices, computer interfacing, interrupt handling and multi-tasking systems

Fair enough Mr. Duffy.

 

[Daniel Duffy]

• Fundamental data structures, including arrays, lists, stacks, queues, trees, hash tables, and graphs. Algorithms for searching and sorting. Introduction to analysis of algorithms. Applications of these data structures and algorithms.

We do these as part of the QN C++ courses, including theoretical foundations, Complexity Analysis and hands-on C++/Boost data structures.

 

[Avar]

I am still alive.

Thoughts on quantum computing?

 

[Daniel Duffy]

I am still alive.

Thoughts on quantum computing?

Welcome back.
Not many thoughts, TBH. It's futureware..

 

[Avar]

I thought youd have more to spill than that. Out of curiosity, Id love to hear your perspective on a few areas:

• Quantum Algorithms for Finance
  Have you explored or thought about how quantum algorithms (like QAOA or HHL) might impact portfolio optimization, derivative pricing, or risk modeling compared to classical methods?
• Quantum Circuit Experience
  Have you had any experience working with quantum circuits or quantum programming environments?
• Integration Potential with C++
  IBM recently released Qiskit-C, a C interface to Qiskit, which I believe will open new opportunities for integrating quantum circuits directly into performance-critical C++ pipelines. Does this kind of low-level integration appeal to you or seem practical in financial engineering contexts

From your view, do you see quantum computing as mostly theoretical hype at this stage, or are there areas where you believe it could provide practical, near-term advantages? I am currently pursuing a masters in the field and seek industry insight.

 

[Daniel Duffy]

I thought youd have more to spill than that. Out of curiosity, Id love to hear your perspective on a few areas:

• Quantum Algorithms for Finance
  Have you explored or thought about how quantum algorithms (like QAOA or HHL) might impact portfolio optimization, derivative pricing, or risk modeling compared to classical methods?
• Quantum Circuit Experience
  Have you had any experience working with quantum circuits or quantum programming environments?
• Integration Potential with C++
  IBM recently released Qiskit-C, a C interface to Qiskit, which I believe will open new opportunities for integrating quantum circuits directly into performance-critical C++ pipelines. Does this kind of low-level integration appeal to you or seem practical in financial engineering contexts

From your view, do you see quantum computing as mostly theoretical hype at this stage, or are there areas where you believe it could provide practical, near-term advantages? I am currently pursuing a masters in the field and seek industry insight.

yeah, the silence is deafening ..
It is crystal-ball, hype, marketing. Give it 15 years.

In short, again, hype.

Stick to the knitting.

 

[Avar]

NISQ Era closing out, imo there is tangible value in hybrid quantum-classical systems and quantum-inspired algorithms. Have you learned about such applications for finance? [Qiskit Finance 0.4.1]

 

[Daniel Duffy]

NISQ Era closing out, imo there is tangible value in hybrid quantum-classical systems and quantum-inspired algorithms. Have you learned about such applications for finance? [Qiskit Finance 0.4.1]

What's that in plain English?